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ORCIDMuhammad Farooq Siddique
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2020 – today
- 2024
[j4]Muhammad Farooq Siddique
, Zahoor Ahmad, Niamat Ullah, Saif Ullah, Jong-Myon Kim:
Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework. Sensors 24(12): 4009 (2024)- 2023
- [j3]Wasim Zaman, Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim:
Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN. Sensors 23(11): 5255 (2023) - [j2]Muhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, Jongmyon Kim:
A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection. Sensors 23(19): 8079 (2023) - [j1]Niamat Ullah, Zahoor Ahmad, Muhammad Farooq Siddique, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim:
An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning. Sensors 23(21): 8850 (2023) - [c4]Zahoor Ahmad, Niamat Ullah, Wasim Zaman, Muhammad Farooq Siddique, Jaeyoung Kim, Jong-Myon Kim:
A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN. ACPR (2) 2023: 170-179 - [c3]Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim:
Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning. HPCC/DSS/SmartCity/DependSys 2023: 877-883 - [c2]Niamat Ullah, Muhammad Farooq Siddique, Jong-Myon Kim:
A Hybrid Classification Framework of Centrifugal Pumps Using Wavelet Coherence Visuals and Principal Component Analysis. HPCC/DSS/SmartCity/DependSys 2023: 906-911 - [c1]Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jaeyoung Kim, Jong-Myon Kim:
Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN. IHCI (2) 2023: 162-170
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